Twitter Followers 🌟

#Install Tweepy Library dependency !pip install tweepy

# import the module import tweepy import pandas as pd # Set your API keys - This information is yours alone and should be kept private. import os consumer_key = os.environ["API_KEY"] consumer_secret = os.environ["API_SECRET"] access_token = os.environ["ACCESS_TOKEN"] access_token_secret = os.environ["ACCESS_TOKEN_SECRET"] # authorization of consumer key and consumer secret auth = tweepy.OAuthHandler(consumer_key, consumer_secret) # set access to user's access key and access secret auth.set_access_token(access_token, access_token_secret) # calling the api api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True) # the screen_name of the targeted user screen_name = "javilop" # Up to 15 requests per minute, up to 200 users per page, default to 20 = 3K every 15 minutes. #https://developer.twitter.com/en/docs/twitter-api/v1/accounts-and-users/follow-search-get-users/api-reference/get-followers-list followers_list = [] for follower in tweepy.Cursor(api.followers, screen_name, count=200).items(9000): followers_list.append([follower.screen_name, follower.name, follower.url, follower.description, follower.location, follower.followers_count, follower.friends_count, follower.listed_count, follower.statuses_count]) col_Names=["screen_name", "name", "url", "description", "location", "followers_count", "friends_count", "listed_count", "statuses_count"] df = pd.DataFrame(followers_list, columns=col_Names) df.to_csv(screen_name + ' ' + 'followers.csv', index=False) df